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Indu Ilanchezian
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2020 – today
- 2023
- [c4]Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch:
Sparse Activations for Interpretable Disease Grading. MIDL 2023: 1-17 - [i2]Indu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, Ziwei Huang, Murat Seçkin Ayhan, Matthias Hein, Lisa M. Koch, Philipp Berens:
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models. CoRR abs/2311.11629 (2023) - 2022
- [c3]Valentyn Boreiko, Indu Ilanchezian, Murat Seçkin Ayhan, Sarah Müller, Lisa M. Koch, Hanna Faber, Philipp Berens, Matthias Hein:
Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images. MICCAI (2) 2022: 539-549 - 2021
- [c2]Indu Ilanchezian, Dmitry Kobak, Hanna Faber, Focke Ziemssen, Philipp Berens, Murat Seçkin Ayhan:
Interpretable Gender Classification from Retinal Fundus Images Using BagNets. MICCAI (3) 2021: 477-487
2010 – 2019
- 2019
- [c1]Ahmad Shayaan, Indu Ilanchezian, Shrisha Rao:
Prediction of Malaria Vaccination Outcomes from Gene Expression Data. BIOINFORMATICS 2019: 155-162 - [i1]Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, G. N. Srinivasa Prasanna, Ramesh Raskar:
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest. CoRR abs/1909.12734 (2019)
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